Senior AI Engineer / Forward-Deployed Solutions Engineer

sagl consulting pte. ltd.; Singapore; Vor Ort; SGD 180.000 - 240.000; Vollzeit

Zusammenfassung

SAGL Consulting Pte. Ltd. seeks a Senior AI Engineer / Forward-Deployed Solutions Engineer with 20+ years of delivery experience in regulated industries. You will translate business and clinical requirements into architectures and deploy production-grade AI and full-stack solutions under strict regulatory frameworks.

You will lead AI/LLM development, engage with enterprise stakeholders, and own end-to-end delivery from data governance to observability in cloud environments.

Qualifikationen

• 10+ years in software engineering and enterprise architecture with hands-on AI/ML delivery.
• Deep expertise in prompt engineering, RAG workflows, LangChain, Claude API, MCP server design.
• Strong skills in Python, Java, Spring Boot, and ReactJS.
• Hands-on AWS (EKS, RDS, S3) and Terraform Infrastructure as Code.
• AWS Certified Solutions Architect – Professional is highly preferred.
• Experience in Banking, FinTech, or Healthcare with MAS/MoH compliance.

Aufgaben

• AI & LLM Application Development: Design and build Retrieval-Augmented Generation (RAG) pipelines, healthcare AI assistants, and grounded generative AI applications using the Claude API, LangChain, and MCP servers.
• Customer-Facing Engineering: Lead requirements discovery, architecture walkthroughs with senior leadership, and proof-of-concept delivery while conducting rigorous trade-off analyses.
• Full-Stack & Cloud Engineering: Deliver production-ready microservices using Python, Java (Spring Boot), and ReactJS, deployed on AWS cloud environments (EKS, Lambda, S3, RDS) utilizing Terraform and robust CI/CD automation (GitLab CI/CD).
• Responsible AI & Compliance: Implement data governance, privacy controls, and access management to ensure all AI model outputs are strictly grounded in authorized source data, meeting high standards of compliance in regulated environments.
• Production Ownership & Observability: Maintain high availability, monitoring, and incident response across complex data and containerized microservices architectures using Prometheus, Grafana, and Datadog/Dynatrace.

Kenntnisse

Leadership

Regulatory experience

AI/ML delivery

Tools

Python

Java

Spring Boot

ReactJS

AWS

Terraform

Jobbeschreibung

About the Role

We are looking for an experienced Senior AI Engineer / Forward-Deployed Solutions Engineer with over 20 years of robust technical delivery experience in regulated industries (Banking, Capital Markets, Healthcare, and Insurance). You will work directly with enterprise stakeholders to translate ambiguous business and clinical requirements into approved technical architectures, building and deploying production-grade AI and full-stack solutions under strict regulatory frameworks (MAS, MoH, etc.).

Key Responsibilities

• AI & LLM Application Development: Design and build Retrieval-Augmented Generation (RAG) pipelines, healthcare AI assistants, and grounded generative AI applications using the Claude API, LangChain, and Model Context Protocol (MCP) servers.

• Customer-Facing Engineering: Lead requirements discovery, architecture walkthroughs with senior leadership, and proof-of-concept (POC) delivery while conducting rigorous trade-off analyses.

• Full-Stack & Cloud Engineering: Deliver production-ready microservices using Python, Java (Spring Boot), and ReactJS, deployed on AWS cloud environments (EKS, Lambda, S3, RDS) utilizing Terraform and robust CI/CD automation (GitLab CI/CD).

• Responsible AI & Compliance: Implement data governance, privacy controls, and access management to ensure all AI model outputs are strictly grounded in authorized source data, meeting high standards of compliance in regulated environments.

• Production Ownership & Observability: Maintain high availability, monitoring, and incident response across complex data and containerized microservices architectures using Prometheus, Grafana, and Datadog/Dynatrace.

Required Skills & Qualifications

• Experience: 10+ years of software engineering and enterprise architecture experience, with recent hands‑on delivery in AI/ML engineering, cloud platforms, and full-stack development.

• AI & LLM Stack: Deep expertise in prompt engineering, RAG workflows, agent orchestration, LangChain, Claude API, and MCP server design.

• Programming & Frameworks: Strong proficiency in Python, Java, Spring Boot, and ReactJS.

• Cloud & Infrastructure: Hands‑on experience with AWS (EKS, RDS, S3, API Gateway) and Terraform Infrastructure as Code.

• Certifications: AWS Certified Solutions Architect – Professional (highly preferred).

• Domain Knowledge: Proven track record working within regulated sectors such as Banking, FinTech, or Healthcare (MoH/MAS compliance standards).